کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4635733 | 1340714 | 2006 | 9 صفحه PDF | دانلود رایگان |

The De-Novo programming problem proposed by Zeleny is well-known for its value on designing an optimal system by extending existed resources instead of finding the optimum in a given system with fixed resources. Since few papers are dedicated to explore the De-Novo programming problem with multiple stages and its resolution approach, the De-Novo programming problem is innovatively extended to a fuzzy dynamic programming problem in this paper, which is solved by the evolving algorithm so as to reflect greater realities. First, a traditional De-Novo programming problem is modified to a De-Novo programming problem with multiple fuzzy goals, fuzzy constraints and multiple stages. Second, we regard this fuzzy multi-stage De-Novo programming problem as a fuzzy dynamic programming problem, which is identical to a fuzzy multi-objective combinatorial optimization problem. Finally, we actually validate the feasibility of genetic algorithm on such a problem.
Journal: Applied Mathematics and Computation - Volume 181, Issue 2, 15 October 2006, Pages 1139–1147